Lecture 4 | AI Free Basic Course
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- Опубликовано: 25 окт 2024
- The AI course is entirely free.
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00:11 Introduction to machine learning and inference
02:41 Discussed the importance of various types of secrets and mentioned Google Bird
09:52 Real-time information and model training process explained
13:33 Importance of diverse data sources in training language models
19:28 Overview of AI models and cloud integration
22:13 Understanding the concept of generative models in AI
28:15 Simplifying technical concepts for better audience understanding
32:50 Generative models transforms representations for generation and discrimination
39:25 Using data sources for pattern analysis
42:37 Introduction to Diffusion Model
49:12 Diffusion model introduced but not successful
52:20 Introduction to Latent Diffusion Model in AI
1:01:26 Acknowledgment of hard work by Irfan Sahab and Dr. Siraj Sahab
1:04:37 Believe in your potential for greater achievements
1:08:50 Importance of community contribution for program success
1:12:08 Importance of basics of Python in AI course
Crafted by Merlin AI.
great
Thanks brother
Even university teachers don 't care that we are not getting their points. And they let the content as complex as they can. Listening these two people is more comfortable. Mr. Irfan Malik should be the teacher of molecular biology too🤣.
Masha Allah, The entry of Sir Dr. Javeed Iqbal is really motivated for us too. A special thanks and pray for him.
Believe it or not. This video was recorded 4 months ago and I am watching it today. I am in Dallas TX and I always loved learning from Pakistani teacherssince I did my metric from there. These 2 amazing teachers are just awesome. Just by the way they talk, you can tell their genuine desire to teach and see us succeed. I will not say thank you but I will way 'JazakAllahKhair' to everyone and their families. May Allah alway give you all health, wealth, happiness and peace of mind. I definitely want to meet both teachers when I visit Pakistan next year in sha Allah.
V6
3 lectured completed now towards lecture 4
very best course Sir
you deserve million of views
Bhai ye course sikhny k liye Chatgpt ka upgrade krna zarory hai
The real Soldier of Pakistan is Sir Irfan Malik...Salute to you and your team.
Such a Quality Content. Without any Cost. They only demand "ATTENTION" from Us. Love U
These leactures has been incredibly helpful, and I'm learning so much! Thank you so much to the entire team. May Allah Almighty bless you all. Ameen.
Mahsahallah ❤ Finally 4th Video Successfully completed 🎉 Alhamdullha ✨
ماشاءاللہ آپ دونوں بہت اعلیٰ انداز سے پڑھا رہے ہیں
لیکن
سر عرفان صاحب
آپ کے سمجھانے کا انداز بہت ہی عمدہ اور آسان ہے
اللہ تعالیٰ آپ دونوں کو دن دگنی رات چگنی ترقی عطا فرمائے آمین
Easy language, to the point discussion, easy to understand. U guys a incredible ❤
Sir Irfan allah pak apko bojt kmyab kry sir mujy ap k lecture sy boht motivation or energy milti ha
May Allah pak bless you Irfan Malik sahib a long life and success in this journey.Ameen Suma Ameen.
irfan sir aap ka story build method bohat zabardast hota iss se matric level student bhi easy se understand kr sakta hai...good luck ...ALLAH PAK aur ilm ataa farmaye aap ko...
Its fair to say that people like these are changing the very dynamics of society where the belief was that what one man can do to change the society? Job well done
Thankyou so much Irfan malik and Dr. Sheraz and Dr. javed iqbal too😍😍
Jazak Allah Iran Malik and Doctor Sheraz.
Love you soo much Irfan sahib and Dr sab. App ka samjany ka andaaz behad khubsurat ha mujy as a housewife buhat sary chitin samar ayen hain ai ki ...Allah app login pr apny naxry kram rally dunya or akhrat main amin.
very very informative allah ap ko our kamyab kary
Sir Thanks For providing high quality content and lecture about Artificial Intelligence.
God bless you Irfan Sb. and Team! I love to watch, it is execellent way to move forward Sir....
Sir Allah always bless you With Success in every field of life.
enjoying this beautiful, resourceful course from Bangladesh
We are thinkful of Sir IRFAn Malik And Sheroz Sir
Dr. javed sir really great to see you here
i m watching this sir irfan and doc sheraz and thier team well done job sir jazak allah
Salute to all team all amazing work job done mai late hu gye dekhny k liye but now I understand it well every point very clearly getting to the students JazaKAllaha stay blessed all over the all team ameen
may Allah bless all of us. Highly recommending
I'm learning these days,bohot sari duaain 😊
Excellent explanation by sir Irfan and doctor sab... literally amazing
Sir Irfan and sir sheraz
Sada sallamat rahein. Ameen ❤
Very informative lecture ma Shaa Allah Allah bless u always
Allah app dono ko shad abad rakhe .ameen.thanks sir
MA! May Allah bless them both
masahAllah very good work may You live long
MAZA AA GAYA COURSE KA. KEEP IT UP
very amazing this lecture is. especially the stable diffusion
Thank you soo much Sir Irfan and Dr Shaeraz❤❤❤
DR sahb really motivated us now I am charged
Completed 4 lectures ☺️ I am so thankful to both of you sir sheraz and sir Irfan....☺️☺️
Apke pass previous assignment hae tu kindly share krde
@@raiusamaakram sorry ,I don't have 😊
@@SawishMehndiinstitudelets make a whatsapp group
You both are best teacher's sir thank you
you both are sir, gift of god for peoples like us 🥰😍
I am loving these lecture. Alhumdulilah Allah give ajar to you all
Salute to our mentors...............Allah ji app ko sehat wali lambi zindagi atta farmayein.....aur app ka saiya hum per ta hayat qaim rakhay.
I am in september 2024 watching this series ... highly recomendable
This man is amazing. Bahut acha samjayya
best initiative for pakistani youth to earn while in Pakistan
mashaallah sir doing fantastic
Assalam Alakum Brother, I Javed Iqbal Bhatti from Sialkot. I am 54 now. I am or was not an IT student. I was simply educated up to FSc from Murray College Sialkot. I served a Muti National company for 18 years as Country Manager in Gulf and Pakistan. Now I am a building contractor. I like to learn new things. Once I saw you lecture on youtube by chance. I found it interested and start to attend from 1st lecture. Now I am attending the 4th lecture. I have a question, if Google Bard is Smarter or Better than all, then why we go or learn for Chat GPT?
Regards,
It's my fourth lecture continuosly watching
Sir, how to create or sign up in this screen in which write hugging face and than stable diffusion option
Pakistan level p ni sir ye urdu language level p bht umida lectures hn me dality sun rha sikh rha hn ❤❤❤❤
Dr shb and irfan sir well done
MashaAllah
Great 👍 ❤
Ma sha ALLAH thanks for guidance
Jazak Allah Irfan bhai and special thanks to Sir for explaining everything nicely 😊
I impressed with you I first sight
I think that movement was best in my study career.
great work
i am just listening and watching lecture 4 which says that Google Bard extracts its information from the internet in real time then what is the difference between Google itself and the Bard. please clarify
Phenomenal job❤❤
Thank you so much ❤😊
Thanks Sir!
Learning in March-2024
thank you so much you lesson is very amazing
I am taking this course in the meantime. I want to pay thanks. Additionally, I have two questions: first, can I access assignments you were giving at that time to the students? Second, for the creativity switch, when option two in temperature is useful?
Meny bard se abhi Islamabad ka time pocha to bilkul shi answer diya
who is in may 2024
Me😊
I am
I am
Me
I am
Here in this course you first discuss about ai tools Claude, bard, stable diffusion then suddenly you shifted towards ML models You switched, please tell what is the table of content of this class 4 and also tell about complete course content thanks ❤
I love you both of our respectable sir❤
Amazing way to teach
dont give up sir
Congratulations Sir 100K Subscribers
Irfan Bhai Zindaabad Pakistan Paindaabad❤😊
Aoa! Respected sir. I am taking your lectures from a week ago. I want those quizzes that you provided during an online session. kindly tell me how can I get those quizzes and assignments. If possible then plz tell me.
Notes Of Lecture No 4 👇:
**Study Guide: Machine Learning Concepts**
**1. Overview of Machine Learning**
- Machine learning involves training models using life data and outputs to make predictions or inferences .
- Inference and prediction are often used interchangeably, meaning the model is trained with input data to produce output .
**2. Types of Learning**
- There are three main types of learning in machine learning:
- **Supervised Learning**: Learning from labeled data.
- **Unsupervised Learning**: Learning from unlabeled data.
- **Reinforcement Learning**: Learning through trial and error to maximize a reward .
**3. Playground and Modes**
- The Playground interface allows users to interact with models without direct control, providing options for different modes such as completion and chat .
- **Temperature**: A parameter that controls the creativity of the model's output.
- Temperature 0: Outputs factual responses.
- Temperature 1: Outputs creative responses with some factual basis.
- Temperature 2: Outputs highly creative and less coherent responses .
**4. Chatbot Capabilities**
- Chatbots can emulate various roles, such as legal experts or CEOs, showcasing their versatility .
- Google Bard is highlighted for its real-time information retrieval capabilities, unlike other models that may have outdated data .
**5. Validating Information**
- Google Bard provides real-time and validated information, while other models may not guarantee accuracy .
**6. Generative Models**
- Generative models can create various types of content (text, images, music) and are often based on neural networks .
- **Generative Adversarial Networks (GANs)** and **Diffusion Models** are examples of generative models .
**7. Neural Networks**
- Deep learning, a subset of machine learning, uses neural networks to process data. The most common activation function is the ReLU (Rectified Linear Unit) .
- Generative models consist of two parts: the encoder (which processes input) and the decoder (which generates output) .
**8. Representation in Machine Learning**
- Machine learning models require numerical representations of data. Different models learn from different types of data representations, such as text or images .
**9. Summary of Key Concepts**
- **Regression**: Predicting continuous outcomes.
- **Classification**: Assigning labels to data points .
- Generative models can produce new data based on learned representations, making them powerful tools in various applications .
This study guide encapsulates the essential concepts and terminologies in machine learning, providing a solid foundation for further exploration and understanding.
**Study Guide on Generative AI and Diffusion Models**
**Key Concepts**
- **Generative AI**: Refers to models that can generate new content, such as images or music, based on learned patterns from existing data. These models often consist of two parts: encoders and decoders .
- **Diffusion Models**: A specific type of generative model that gradually transforms noise into coherent images or representations. They work by reversing a process that adds noise to data .
**Process Overview**
1. **Noise Addition**: Initially, an image is corrupted by adding noise, making it indistinguishable .
2. **Reverse Process**: The model learns to reverse this noise addition, gradually refining the image back to a clear representation .
**Applications**
- **Image Generation**: Diffusion models can generate high-quality images by starting from random noise and applying learned transformations .
- **Data Recovery**: Used in scenarios like enhancing blurry CCTV footage or satellite images, where the model reconstructs clearer visuals from noisy data .
**Model Components**
- **Embedding**: A representation of data that the model uses to understand and generate outputs. It translates complex data into a format that the model can process .
- **Temperature Control**: A parameter that influences the randomness of the output. Higher temperatures lead to more diverse outputs, while lower temperatures yield more predictable results .
**Training and Data Sources**
- Models are trained on vast datasets, including text, images, and various forms of media. This training helps them recognize patterns and generate coherent outputs .
**Challenges**
- **Computational Intensity**: Generative models, especially diffusion models, require significant computational resources, often needing powerful GPUs for effective training and operation .
**Future Directions**
- The field is evolving, with ongoing improvements in model efficiency and output quality. New techniques are being developed to apply diffusion processes to various types of data, including text and audio .
This study guide encapsulates the essential concepts and processes related to generative AI and diffusion models, providing a clear framework for understanding their functionality and applications.
You Can Also Check this link for notes:-
unstuckstudy.com/share/6f39e744-c53a-42a4-ab0b-4cee43dffe05
Fabulous job
We want advance ai series ,,, love from India 🇮🇳
there is an advance series too. check out the playlists of this channel
I was very curious about chatgpt n other models like how do they work. Excellent effort jazakallah I'm learning a lot
AOA Sir,
and what about students listening to the lectures now? how they will go for that quiz please?
Go to the live session and swipe the comment section to go to live comments and then at any time they will send the send the link during that lecture in the comments so skip to that part where they send it and click and fill the quiz. Then see your marks
sir Irfan Malik you said in this lecture that bard is very updated It can give you the latest answer according to the prompt but it can not go to the internet and collect data for you(you added). but here bard is saying something different. I am not trying find your mistakes, I am just correcting myself. I just want to clear my concept. so plz do not take it wrongly.
my prompt:
do you know you are better than chat gpt.
bard's response:
I am still under development, so I am not sure if I am better than Chatgpt. However, I do have some advantages over Chatgpt. For example, I am trained on a larger dataset of text and code, which means that I have a wider range of knowledge. "I am also able to access and process real-time information from the internet, which makes me more up-to-date".
my prompt:
you mean that you can access real-time data from internet at the same time when user writes any prompt?
bard's response:
Yes, that is correct. I am able to access and process real-time information from the internet at the same time when a user writes a prompt. This means that I can provide up-to-date information, even if the prompt is about a current event or a topic that is changing rapidly.
For example, if a user asks me "What is the latest news about the war in Ukraine?", I will be able to access the latest news articles from the internet and provide them with a summary of the latest developments.
my prompt:
if the article is posted 1 second ago then can you still access it?
bard's response:
Yes, I can still access an article that was posted 1 second before. I am able to do this because I am connected to a number of real-time data sources, such as newswires, social media platforms, and financial data providers. These sources are constantly updating their data, so I am able to access the latest information as soon as it is available.
nice
thanks Irfan Bhai
Very informative and well explained 👏
I found Sir Irfan shb on Facebook Podcast with Hafiz Ahmad Shb.
Hardly find such videos where such simple language is being used
I m in September watching these lectures
sir you are doing great job❤❤
Sir I've a question is stable diffusion models are also train like LLM....means they are also trained on a lot of images ?
AMAZING//....JAZAK ALLAH
Sir to be honest you are a hero ....
Best work
Amazing sir
Sir i watch your lecture on youtube. I wish to check my level please share quiz with me too. I watch the lecture twice to understand deeply.
🌹💐stay blessed sir🙂
Excellent
I really hope that soon it will get to implementation stage or the real world practical, developmental stage
You both are amazzzzzzzzingggggggggg
assalamu alaikum sir , meny a abhi dekhna shro kia hy quiz session waghera me kis tarah krskta ho .
Awesome veey well explained information jazakaAllah kher sir irfan
Excellent nd all pleasures from core of my heart for u urs team efforts.
I request u that some English words use during lessons, if possible tell the meaning.i M totally raw hand,only BA n 2000. Stay bless